GCRI · Foundry

NXS-GRX

NXS-GRX (canonical data, provenance and risk) is the risk data fabric: indicators, datasets and derived risk products for countries and sectors, each with its source, method, version and evidence label.

03The problem it addresses

Risk indicators from different sources do not join cleanly.

NXS-GRX is defined in system profile NRS-S6 of the Nexus Standards. Country risk analysis combines published statistics, Earth observation, model outputs and expert assessments with different definitions, units and update cycles. A risk data fabric harmonises them while keeping each value’s lineage, so that a composite never hides what it is made of.

  • Indicator definitions and metadata in a shared register.
  • Lineage from source to derived product.
  • Evidence labels carried into every output.
04Reference practice

The standards a design like this is read against.

ReferenceRelevance
SDMXExchange of statistical data and metadata
UN fundamental principles for national statistics (resolution 68/261)Quality and independence of published data
W3C PROVProvenance of derived products
06Rooms

The ten rooms of NXS-GRX.

The Global Risks Index (NXS-GRX) has the eight rooms every Foundry system shares, set to its own authority, and two specialist rooms, Fusion and Cascades. Each is described by the work it is designed for; the public register records NXS-GRX as declared, not deployed.

RoomKindDesigned to
StationSharedOperate, inspect and correct authoritative domain posture for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
MissionSharedCoordinate bounded objective-oriented intelligence and human handoff for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
BuilderSharedDesign, engineer and prepare governed changes and artefacts for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
MapsSharedInspect and compose spatial, temporal and world-model intelligence for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
DataSharedWork with data, ontology, Chronotopes, graphs, scientific methods and risk for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
CommonsSharedWork with policy, law, standards, clauses, obligations and assurance for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
ReportsSharedCompute, model, synthesise and visualise governed analytical products and reproducible reports for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
KnowledgeSharedWork with institutional memory, records, citations, runbooks and learning for canonical data, evidence, graph, risk, fusion and statistical-geospatial products
FusionSpecialistConstruct defensible canonical products from heterogeneous records, observations, entities and relationships
CascadesSpecialistInvestigate propagation across interdependent water, energy, food, health, biodiversity, infrastructure, technology, supply-chain and other configured domains
07Access

Authorised projects only.

Access requires an authorised project with an accountable owner, data terms and a review plan. Enquiries go to the contact form.

08Risk Academy

Where NXS-GRX subjects are taught.

Risk Academy, led by the Nexus Consortium, teaches the subjects practised in NXS-GRX in these disciplines; the Global Centre for Risk and Innovation (GCRI) links to the Academy as a partner and does not provide its courses.

09Sources

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

10Questions

Questions and answers.

Is the system available now?
Allocations open when their terms and review capacity exist; information and enquiries are open today.
Foundry

Bring a method, a dataset or a question.

Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

The Global Centre for Risk and Innovation

Science · evidence · measurement

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